Part 1 - 3D Reconstruction and Computational Vision: Image Processing – Image Features – Epipolar Geometry – 3D Reconstruction -- Motion Part 2 - Deep Learning for Computer Vision: GAN Generative Models and Generative Adversarial Networks, Image Translation and Mapping Programming: Python, Tensorflow

1. Richard Szeliski, Computer Vision: Algorithms and Applications (Chapters: 1, 2, 3, 4, 6, 7, 8, 10, 14) 2. Richard Hartley & Andrew Zisserman MultiView Geometry in Computer Vision (Chapters: 2, 3, 6, 7, 10, 11) 3. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep learning (Chapter 20) 4. Jan Erik Solem Programming Computer Vision with Python (Exercises)